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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Machine : Jurnal Teknik Mesin Fraction: Jurnal Teori dan Terapan Matematika
Elyas Kustiawan
Mathematics Department, Faculty Of Technic, Universitas Bangka Belitung
Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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MODIFIKASI DIAMETER INLET DAN PENGARUH KEKERASAN KARET TERHADAP HASIL LADA PADA MESIN PENGUPAS LADA SISTEM CRUSHER Firlya Rosa; Rodiawan Rodiawan; elyas kustiawan
Machine : Jurnal Teknik Mesin Vol 4 No 2 (2018): Machine : Jurnal Teknik Mesin
Publisher : Jurusan Teknik Mesin Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (289.491 KB) | DOI: 10.33019/jm.v4i2.659

Abstract

Based on previous research, specifications of machine have a slope of a dish of 0.68 ° and inlet diameter of 30 mm, produce 1 kg/hour of input capacity and 0.64 kg/hour of output capacity. From the evaluation results, to increase the input capacity it is necessary to increase the inlet diameter and analyze the effect of rubber hardness on the results of peeling pepper. Modifiying the inlet diameter, input capacity increase to 6 kg/hour or increasing 5 times compared to the input capacity of the previous research. For hardness of rubber 60 shore A, the percentage of pepper peeled was 72.13% with an engine output capacity of 4.33 kg/hour. For rubber hardness of 70 shore A, the percentage of pepper peeled was 73.03% with an engine output capacity of 4.38 kg / hour. Visually, dry pepper with a hardness of 60 shore A whiter than dry pepper hard with a hardness of 70 shore A.
FORECASTING RAINFALL IN PANGKALPINANG CITY USING SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE WITH EXOGENOUS (SARIMAX) Ririn Amelia; Elyas Kustiawan; Ineu Sulistiana; Desy Yuliana Dalimunthe
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (689.719 KB) | DOI: 10.30598/barekengvol16iss1pp137-146

Abstract

Changes in extreme rainfall can cause disasters or losses for the wider community, so information about future rainfall is also needed. Rainfall is included in the category of time series data. One of the time series methods that can be used is Autoregressive Integrated Moving Average (ARIMA) or Seasonal ARIMA (SARIMA). However, this model only involves one variable without involving its dependence on other variables. One of the factors that can affect rainfall is wind speed which can affect the formation of convective clouds. In this study, the ARIMA model was expanded by adding eXogen variables and seasonal elements, namely the SARIMAX model (Seasonal ARIMA with eXogenous input). Based on the analysis that has been carried out, the prediction of rainfall in Pangkalpinang City, Bangka Belitung Islands Province can be modeled with the SARIMAX model (0,1,3)(0,1,1){12} for monthly rainfall and SARIMAX (0,1,2 )(0,1,3){12} for maximum daily rainfall. When compared with the actual data and previous studies using ARIMAX, the SARIMAX model is still better in the forecasting process when compared to the ARIMAX model. If viewed based on the AIC value of the SARIMA model, the SARIMAX model is also more suitable to be used to predict rainfall in Pangkalpinang City.
PROYEKSI HARGA LADA PUTIH DI KOTA PANGKAL PINANG MENGGUNAKAN EXPONENTIAL SMOOTHING: PROJECTION OF WHITE PEPPER’S PRICE IN PANGKAL PINANG CITY PROVINCE OF BANGKA BELITUNG USING EXPONENTIAL SMOOTHING Sisilia Pririzki; Elyas Kustiawan
Fraction: Jurnal Teori dan Terapan Matematika Vol. 1 No. 1 (2021): Fraction: Jurnal Teori dan Terapan Matematika
Publisher : Jurusan Matematika, Fakultas Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.489 KB) | DOI: 10.33019/fraction.v1i1.4

Abstract

Lada putih merupakan salah satu tanaman rempah-rempah yang biasanya digunakan sebagai penyedap rasa makanan. Kota Pangkalpinang Provinsi Bangka Belitung merupakan salah satu daerah penghasil lada putih di Indonesia. Dengan dilakukannya penelitian ini, peneliti bermaksud ingin memproyeksi harga lada putih di daerah tersebut. Metode analisis yang digunakan di penelitian ini merupakan analisis deret waktu (Time Series Analysis). Metode peramalan yang digunakan pada tahapan analisis deret waktu (Time Series Analysis) merupakan metode Exponential Smothing. Data yang digunakan dalam penelitian ini merupakan data sekunder yang didapatkan dari Badan Pengawas Perdagangan Berjangka Komoditi (BAPPEBTI) dari bulan Januari 2017 hingga Agustus 2021. Data di analisis dan ditentukan dengan menggunakan model simple, holt, dan brown. Hasil dari penelitian ini adalah harga lada putih di Kota Pangkal Pinang pada bulan Oktober 2021 diproyeksi akan mengami kenaikan harga mencapai Rp. 98.000/kg dengan menggunakan model holt yang menjadi model terbaik.
Co-Authors Desy Yuliana Dalimunthe Firlya Rosa Ineu Sulistiana Ririn Amelia Rodiawan, Rodiawan Sisilia Pririzki